Measure and integration Definition
Standard probability space
Builds on Probability spaceLebesgue measureNull setComplete measure
Definition
Let be a probability space whose measure is complete. A model space is built from a number and a finite or countable family of numbers with . It is the disjoint union of with points . Lebesgue measurable subsets of get their Lebesgue measure, and each point gets mass . Two complete probability spaces are isomorphic mod if a null set can be removed from each so that the following holds. There is a bijection between the remaining sets that is measurable in both directions and preserves the measure. The space is standard if it is isomorphic mod to a model space.
Remarks
Example: the unit square with completed Lebesgue measure is standard with and no atoms. Remove the null set of points with a dyadic rational coordinate, and interleave the binary digits of the two coordinates. This gives a bijection mod with that sends dyadic squares to dyadic intervals of the same measure, so it preserves the measure. Non-example: let have Lebesgue inner measure and outer measure , and let with for Lebesgue measurable . This "perforated interval" is a complete probability space that is known not to be standard. Rokhlin's Lebesgue spaces are the same spaces, defined through a countable separating family of sets and a completeness condition.
Reading path
To understand this page from the ground up, read these 8 pages in order. The foundations come first.
Show the path as a graph
- no evidence level
- Borel sigma-algebra concept
- Complete measure concept
- Euclidean space object
- Null set concept
- Outer measure concept
- Probability space concept
- Lebesgue measure object
- Standard probability space definition
Further reading
About this page
| Tag | 3H1YKSPH19 |
|---|---|
| URI | m2://3H1YKSPH19 |
| Kind | definition |
| Writing | W1 stated |
| MSC | 28A05, 60A10, 28D05 |
| Defines | Standard probability space |
| Uses | Probability space, Lebesgue measure, Null set, Complete measure |
| Changed | 2 November 2026 |
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